Six Models. One Signal.
Phantom Intelligence does not use a single AI model to analyze a market. It deploys six simultaneously -- each with a distinct reasoning architecture, training distribution, and probabilistic weighting system. The models do not collaborate. They operate independently against the same domain.
What we look for is convergence. When independent models, operating without shared inference, arrive at the same gap -- the same absent product, underserved segment, or unbuilt infrastructure layer -- that convergence is a signal. Not a prediction. A signal.
Why Convergence Matters
A single model hallucinating a market gap is noise. Two models identifying the same gap is interesting. Six models, independently, converging on the same structural absence -- that is intelligence. The methodology is named for this property: Convergent Predictive Modeling.
CPM was developed to solve a specific problem in market intelligence: the gap between what analysts can observe (existing products, funded companies, public filings) and what does not yet exist but demonstrably should. Traditional market research identifies what is. CPM maps what is missing.
What a Gap Is
A Phantom gap is not a feature request. It is not a startup idea. It is a structural absence in a market with a defined buyer, a definable procurement pathway, and no incumbent solution at meaningful scale. Each gap in a Phantom report includes: domain classification, gap description, convergence score (how many models identified it), addressable buyer profile, and acquisition pathway analysis.
What a Report Contains
The Brief tier ($495) delivers a full gap analysis for a single domain -- typically 30-50 identified gaps, ranked by convergence score and acquisition urgency. The Dossier tier ($2,450) includes the full gap analysis plus AI Artifact Packages: structured PRDs, technical architecture memos, and competitive landscape maps formatted for immediate use in proposal development or investment thesis construction.